TABLE 3.

Confusion matrix and performance evaluation of ANN classification models for an independent testing set of 50 Raman spectra.

A
	Confusion matrix		Performance evaluation
Sample count	Predicted HQ- blastocysts	Predicted LQ- blastocysts	Precision	Sensitivity	F1 score	Accuracy
Actual HQ- blastocysts	23	2	88.46%	92.00%	0.9020	90.00%
Actual LQ- blastocysts	3	22	91.67%	88.00%	0.8980
B
Sample count	Predicted pregnancy success	Predicted pregnancy failure	Precision	Sensitivity	F1 score	Accuracy
Actual pregnancy success	25	10	89.29%	71.43%	0.7937	74.00%
Actual pregnancy failure	3	12	54.55%	80.00%	0.6486

Note: Models were trained from a training set of 100 Raman spectra.

ANN, is artificial neural network.